The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Functional Overview of the Core System with Glossary
ACM Computing Surveys (CSUR)
Computer science as empirical inquiry: symbols and search
Communications of the ACM
Theory of Modelling and Simulation
Theory of Modelling and Simulation
Supporting a flourishing language culture
ACM SIGPLAN Notices
ACM SIGMIS Database
Simula Begin
Introduction to the use of activity cycles as a basis for system's decomposition and simulation
ACM SIGSIM Simulation Digest
Structured programming
| Hi-index | 0.00 |
Success of any standardization effort is highly sensitive to user acceptance and satisfaction. Conceptual simplicity, congruence, power, transparency, flexibility and interpretative efficiency of modelling methodologies and their processor systems are at least partially conflicting goals between which suitable tradeoffs have to be made.Solutions to this problem will neither be found through excessive generality nor a proliferation of weakly related special purpose concepts, but by a reliable approach towards engineering of complex systems relative to a secure and powerfull conceptual basis.This paper argues in favour of spectra of high-level, user-oriented modelling interfaces built on top of a hierarchically extended base language. A brief outline of cognitive structures in problem solving and discrete event simulation serves to support the subsequent discussion of basic conceptual and notational abstractions and their mapping into implementation structures.Some final remarks on costs and benefits of instrumental congruences and the impact of technological developments on price/performance tradeoffs between information processing system components serve to underline the recommendations.